**R – Statistical Odds & Ends**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

I recently encountered a small gotcha when using the testthat` package to test the equality of two lists. Imagine I have the following two lists below:`

list1 <- list(a = 1, b = 2, c = 3, d = 4) list2 <- list(a = 0, b = 2, c = 3, d = 5)

Imagine that:

- I know that the value associated with
`a`

is going to be different, so I don’t want to test equality for it. - The values associated with the other keys should be the same, so I want to test equality for them.

If I run the tests correctly, I should get an error message associated with the key `d`

. The following code snippet using the `testthat`

package looks like it does the job, * BUT IT DOES NOT WORK*:

library(testthat) # WRONG!!!! for (key in names(list1)) { if (key != "a") { expect_equal(list1$key, list2$key) } }

The code above incorrectly reports that all the elements in `list1`

and `list2`

(ignoring the key `a`

) are equal.

The correct way to test equality in this situation is as follows:

library(testthat) # CORRECT keys <- setdiff(names(list1), "a") expect_equal(list1[keys], list2[keys]) # Error: list1[keys] not equal to list2[keys]. # Component “d”: Mean relative difference: 0.25

* Update:* As some of the commenters have rightly pointed out (thanks for contributing!), the bigger mistake in the first snippet is the use of

`$`

to pull out the element instead of the double square braces `[[`

. When using `$`

, it is looking for a key in the list that is literally named `"key"`

. Not what I intended!The code snippet above can be changed to use `[[`

, but notice how the error message is less informative:

library(testthat) # CORRECT, but error message less informative for (key in names(list1)) { if (key != "a") { expect_equal(list1[[key]], list2[[key]]) } } # Error: list1[[key]] not equal to list2[[key]]. # 1/1 mismatches # [1] 4 - 5 == -1

**leave a comment**for the author, please follow the link and comment on their blog:

**R – Statistical Odds & Ends**.

R-bloggers.com offers

**daily e-mail updates**about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.